Intel Corporation

Richard T Beckwith

Glen J Anderson

Lenitra M Durham

Kathy Yuen

Jamie Sherman

Giuseppe Beppe Raffa

Tamara Gaidar

Yosi Govezensky

Joshua Ekandem

Maria Bezaitis

Rita H Wouhaybi

Omer Ben-Shalom

Jennifer Anne Healey

Stephen R Brown

Cagri Tanriover

John W Sherry

Maha El Choubassi

Asli Arslan Esme

Kenneth T Anderson

Ariel Moshkovitz

Ned M Smith

Vincent J Zimmer

Michael A Rothman

Michael Lemay

Oscar Nestares

Nathan Heldt-Sheller

Yi Wu

Igor V Kozintsev

Scott H Robinson

Meng Shi

Kalpana Seshadrinathan

Ankur Agrawal

Matthew D Wood

Amit Moran

Vinay Phegade

Jose K Sia, Jr

Eddie Balthasar

Sung Hee Park

Patrick J Neschleba

Cornelius V Vick

Timothy G Coppernoll

Pablo A Michelis

Herein is disclosed a virtual embodiment display system comprising one or more image sensors, configured to receive one or more images of a vehicle occupant; one or more processors, configured to determine a gaze direction of the vehicle occupant from the one or more images; select a display location corresponding to the determined gaze direction; and control an image display device to display a virtual embodiment of an intelligent agent at the display location; the image display device, configured to display the virtual embodiment of the intelligent agent at the selected display location according to the one or more processors.

Intelligent vehicle point of focus communication

Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.

Personal sensory drones

Selective/controlled disclosure of user information to private workspaces of other users/invitees based on context/contextual relations, and a shared workspace or market to collaborate amongst the other users (e.g., to crowd-source gifts of interest to the recipient). Contextual disclosure may be based on common context or commonality under a set of conditions, such as a topic, which may include known topics of relationships amongst the users and/or undiscovered contexts. As an example, items of interest to each user are identified and clustered, keywords are assigned to the clusters indicative of topics/subjects of interests to the respective users, recipient keywords are compared to keywords of an invitee to identify common keywords as shared interests, and items of interest to the recipient that relate to the common keywords are disclosed to the invitee as a personalized wish-list. Keyword weighting and/or keyword/item level privacy designations may be provided to further control disclosure.

Selective sharing of user information based on contextual relationship information, such as to crowd-source gifts of interest to a recipient

Technologies for immersive sensory experience sharing include one or more experience computing devices, an experience server, and a distance computing device. Each experience computing device captures sensor data indicative of a local sensory experience from one or more sensors and transmits the sensor data to the experience server. Sensors may include audiovisual sensors, touch sensors, and chemical sensors. The experience server analyzes the sensor data to generate combined sensory experience data and transmits the combined sensory experience data to the distance computing device. The experience server may identify one or more activities associated with the local sensory experience. The distance computing device renders a sensory experience based on the combined sensory experience data. The distance computing device may monitor a user response, generate user preferences based on the user response, and transmit the user preferences to the experience server. Other embodiments are described and claimed.

Technologies for immersive user sensory experience sharing

In embodiments, apparatuses, methods and storage media (transitory and non-transitory) are described that receive sensor data from one or more sensor devices that depict a user gesture in three dimensional space, determine a flight path based at least in part on the sensor data, and store the flight path in memory for use to control operation of a drone. Other embodiments may be described and/or claimed.

Drone controlling device and method

Technologies for motion-compensated virtual reality include a virtual reality compute device of a vehicle. The virtual reality compute device is configured to render a virtual reality content to an occupant of the vehicle and determine a motion of the vehicle based at least on sensor data generated by one or more vehicle motion sensors of the vehicle. Based on the determined motion of the vehicle, the virtual reality compute device modifies the rendered virtual reality media. In some embodiments, the virtual reality compute device may utilize other sensors associated with the vehicle and/or a user-worn virtual reality device to predict the motion of the vehicle in order to determine an expected motion of the vehicle that is expected to be sensed in the future.

Technologies for motion-compensated virtual reality

Technologies for establishing connections between or among people based at least in part on semantic distance and relational distance include one or more computing devices that analyze content created by computing device users, perform content clustering on the content, determine relational distances between connection candidates, and generate connection recommendations based at least in part on the content clustering and the relational distances.

Connecting people based on content and relational distance

The present disclosure is directed to content protection for Data as a Service (DaaS). A device may receive encrypted data from a content provider via DaaS, the encrypted data comprising at least content for presentation on the device. For example, the content provider may utilize a secure multiplex transform (SMT) module in a trusted execution environment (TEE) module to generate encoded data from the content and digital rights management (DRM) data and to generate the encrypted data from the encoded data. The device may also comprise a TEE module including a secure demultiplex transform (SDT) module to decrypt the encoded data from the encrypted data and to decode the content and DRM data from the encoded data. The SMT and SDT modules may interact via a secure communication session to validate security, distribute decryption key(s), etc. In one embodiment, a trust broker may perform TEE module validation and key distribution.

Content protection for data as a service (DaaS)

Examples are disclosed for determining a suggested camera pose or suggested camera settings for a user to capture one or more images. In some examples, the suggested camera pose or suggested camera settings may be based on an indication of the user's interest and gathered information associated with the user's interests. The user may be guided to adjust an actual camera pose or actual camera settings to match the suggested camera pose or suggested camera settings.

Guided image capture

A system of using a drone for network connectivity, the system may comprise: a connectivity module to: detect an error associated with network traffic on a network connection utilized by a user device; query a connection datastore to retrieve at least one access point location that at least one device of the user has utilized within a predetermined period; a drone coordination module to: transmit configuration settings to a drone, the configuration settings including the at least one access point location and a mode of operation for the drone; and route at least a portion of the network traffic of the user device to the drone for transmission according to the configuration settings.

Personal communication drone

An image processing apparatus, system, and method to automatically determine a plurality of image acquisition settings for an scene; acquire a set of images of the scene, the set of images including multiple images acquired with a distinct plurality of the determined image acquisition settings; and generate a single image by combining the acquired set of images.

Method and system for perfect shot imaging from multiple images

A mechanism is described for facilitating dynamically prioritized control of calls over a network according to one embodiment. A method of embodiments includes receiving, at a computing device, a call reporting an emergency, automatically evaluating the received call and the reported emergency, and assigning a priority level to the call based on the evaluation of the call and the emergency. The method may further include placing the call in a first queue based on the assigned priority level. The call may be picked from the first queue and processed based on the assigned priority level. Other embodiments are described and claimed.

Mechanism for facilitating dynamically prioritized control of calls over a network

Growing community of inventors

Santa Clara, CA, United States of America

Richard T Beckwith